Refining a heuristic for constructing Bayesian networks from structured arguments

Publication date

2018-02-25

Authors

Wieten, G.M.ISNI 0000000492960331
Bex, FlorisORCID 0000-0002-5699-9656ISNI 0000000118066508
van der Gaag, L.C.ISNI 0000000117800715
Prakken, H.ISNI 000000011466763X
Renooij, SiljaORCID 0000-0003-4339-8146ISNI 0000000396172124

Editors

Verheij, Bart
Wiering, Marco

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

Abstract

Recently, a heuristic was proposed for constructing Bayesian networks (BNs) from structured arguments. This heuristic helps domain experts who are accustomed to argumentation to transform their reasoning into a BN and subsequently weigh their case evidence in a probabilistic manner. While the underlying undirected graph of the BN is automatically constructed by following the heuristic, the arc directions are to be set manually by a BN engineer in consultation with the domain expert. As the knowledge elicitation involved is known to be time-consuming, it is of value to (partly) automate this step. We propose a refinement of the heuristic to this end, which specifies the directions in which arcs are to be set given specific conditions on structured arguments.

Keywords

Structured argumentation, Bayesian networks, Taverne

Citation

Wieten, G M, Bex, F J, van der Gaag, L C, Prakken, H & Renooij, S 2018, Refining a heuristic for constructing Bayesian networks from structured arguments. in B Verheij & M Wiering (eds), Artificial Intelligence : 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers. 1 edn, Communications in Computer and Information Science, vol. 823, Springer, Cham, pp. 32-45. https://doi.org/10.1007/978-3-319-76892-2_3